Overview
genomics data analyst Jobs in Munich, Bavaria, Germany at Ludwig-Maximilians-Universität München
Title: genomics data analyst
Company: Ludwig-Maximilians-Universität München
Location: Munich, Bavaria, Germany
The Population Genomics Group
at the Department of Veterinary Sciences, LMU Munich, is seeking a
genomics data analyst
at the earliest possible date for the DFG-funded project. This full-time position is limited to 18 months and is compensated according to salary group E13 TV-L. The project primarily focuses on investigating adaptive introgression from zebu cattle into southeastern European cattle breeds. The successful candidate will be responsible for conducting a comprehensive analysis of whole genome sequencing data from both modern cattle samples and ancient cattle bone samples obtained across Europe. Additionally, the candidate will have the opportunity to analyze long-read sequencing data from southeastern European cattle breeds to identify structural variations (SVs) and assess their role in adaptation.
Requirements:
– a PhD in bioinformatics or a different field (veterinary medicine, animal breeding, wildlife biology or similar) with strong bioinformatic focus, preferably in the field of population genomics
– experience with software for NGS data analysis, good ability to independently conduct genomic and bioinformatic/statistical data analyses
– experience with programming and/or scripting languages like R and Python
– experience with Bayesian statistics (e.g. ABCtoolbox and/or BEAST) is an advantage but not a prerequisite
– experience in publishing in international journals
– fluent language skills in English
Your workplace is located in south-west of Munich (82152 Martinsried) and easy to reach by public transportation. We offer an interesting and responsible job with good opportunities for further education and personal development. Equally qualified disabled applicants will be preferred. Female candidates are encouraged to apply.
The starting date is as soon as possible.
Please send your complete application as a single PDF (CV, motivation statement and research experience, record of study, certificates) to [email protected] and [email protected].
